Triple
T33525400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cymric Oil Field |
E858624
|
entity |
| Predicate | hasViscosity |
P48486
|
FINISHED |
| Object | high viscosity oil |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: high viscosity oil | Statement: [Cymric Oil Field, hasViscosity, high viscosity oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViscosity Context triple: [Cymric Oil Field, hasViscosity, high viscosity oil]
-
A.
viscosity
chosen
Indicates the degree to which a fluid resists flowing or changing shape under an applied force.
-
B.
lavaViscosity
Indicates the thickness or resistance to flow of lava in a volcanic or geological context.
-
C.
hasFluid
Indicates that one entity contains, holds, or is associated with a particular fluid.
-
D.
ReynoldsNumberCapability
Indicates the ability or suitability of a system or context to be characterized, analyzed, or operated in terms of Reynolds number–based flow behavior.
-
E.
isThickenedWith
Indicates that one substance has been made more viscous or dense by adding another substance that serves as a thickening agent.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 1, 2026, 1:39 a.m.